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Pharmacy 2019 Paper ST160Experiences in Building DISC Compliant Adam Dataset to Support Multiple Imputation Analysis for Clinical Trials Changchun (Bob) Coo, Aldermen, Inc, Waltham, ABSTRACT Multiple
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01
Start by understanding the CDISC (Clinical Data Interchange Standards Consortium) data model, which includes domains, variables, and relationships.
02
Identify the specific CDISC standard you are working with, such as SDTM (Study Data Tabulation Model), ADaM (Analysis Data Model), or SEND (Standard for Exchange of Nonclinical Data).
03
Familiarize yourself with the CDISC documentation, including the Implementation Guides, Study Data Standards Document, and Controlled Terminology.
04
Obtain relevant datasets and study documentation to understand the data structure and variables used.
05
Map the collected data to the CDISC standard by identifying domain variables, data types, and relationships.
06
Ensure that the data conform to the CDISC guidelines and standards, making necessary transformations or adjustments.
07
Validate the CDISC data for accuracy, completeness, and consistency.
08
Generate the CDISC datasets or submission files according to the predefined specifications.
09
Document and maintain a clear record of the CDISC conversion process, including any deviations or modifications made.
10
Stay up-to-date with the latest CDISC standards, guidelines, and updates to ensure continuous improvement.

Who needs experiences in building cdisc?

01
Professionals involved in clinical research and drug development.
02
Biostatisticians and statisticians who analyze clinical trial data.
03
Data managers and data analysts responsible for managing and converting research data.
04
Regulatory authorities and organizations requiring standardized datasets for submissions.
05
Pharmaceutical and biotech companies that need to comply with regulatory requirements.
06
Clinical data standards professionals and consultants.
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Experiences in building CDISC refer to the knowledge and skills gained from working with CDISC standards for clinical data.
Individuals or organizations involved in clinical research and data management are required to document their experiences in building CDISC.
Experiences in building CDISC can be filled out by describing the projects worked on, tasks performed, challenges faced, and solutions implemented while using CDISC standards.
The purpose of documenting experiences in building CDISC is to demonstrate proficiency and competency in working with CDISC standards.
Information such as project details, specific CDISC standards used, roles and responsibilities, and outcomes achieved should be reported on experiences in building CDISC.
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